Csilla Farkas
Seniorforsker
(+47) 948 14 727
csilla.farkas@nibio.no
Sted
Ås - Bygg O43
Besøksadresse
Oluf Thesens vei 43, 1433 Ås (Varelevering: Elizabeth Stephansens vei 21)
Sammendrag
This paper presents a social benefit-cost analysis (BCA) of Precision Agriculture (PA)and Enhanced Efficiency Fertilizers (EEF) for reducing nitrate pollution in the Zelivka catchment, the drinking-water source for 1.5 million people in Prague and surrounding regions. The analysis combines field-level data (50,309 ha, 729 farms), meta-analytical biophysical parameters, a dynamic heterogeneous-agent adoption model, and cross-validation against an independent SWAT+ hydrological simulation. Technology adoption generates a mean Net Present Value of EUR 291 million (95% CI: EUR 94 775 million) over fifty years, with a deterministic benefit-cost ratio of 19.8. Even with health benefits set to zero, the NPV remains positive at EUR 44 million, indicating that private benefits alone cover adoption costs. BCA and the SWAT+ approaches imply comparable rates of reservoir-concentration decline (≈0.15 mg/L/yr in SWAT+ over its lag-free window versus a ≈0.13 mg/L/yr peak in the BCA once the lag has elapsed). At-source nitrogen prevention via agricultural technology adoption offers a cost-effective complement to structural catchment measures and end-of-pipe water treatment.
Sammendrag
Small retention ponds are increasingly recognised as effective nature-based solutions for managing hydrological extremes in Norway’s agricultural catchments. Typically located in upper catchment areas or at the forest–agriculture interface, these ponds temporarily store runoff during intense rainfall events and snowmelt. In addition to flood mitigation, they provide important co-benefits by reducing soil erosion and sediment transport and by protecting agricultural drainage systems from erosion and overflow during extreme events, thereby supporting long-term soil productivity. Although individual storage volumes are limited, their cumulative impact at the catchment scale can be substantial when retention ponds are strategically distributed across the landscape. This study investigates the potential effects of small retention ponds using process-based hydrological modelling with SWAT+ to support catchment-scale climate adaptation planning in a Norwegian agricultural catchment. SWAT+ enables an improved representation of hydrological connectivity between managed landscapes and the stream network through its flexible spatial structure and rule-based management algorithms. The model is calibrated using a constraint-based approach that integrates both soft and hard data to represent streamflow and sediment dynamics in the Lierelva catchment. Multiple retention ponds are implemented to assess their cumulative effects on streamflow and sediment transport. Finally, the study discusses key challenges associated with modelling catchment–NBS interactions using SWAT+.
Sammendrag
Det er ikke registrert sammendrag
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